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DATA MANAGEMENT SERVICES

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Harness the power of data into a strategic asset Data management services are all about extracting,storing, cleansing, transforming with the aim to create a platform for data analytics. It is vital for data quality, unlocking insights and predicting future trends. Future-ready enterprises will adapt our array of data platform mordination services and leverage modern technologies to uncover data sights. Our services are backed by Datakrom’s years of experience migrating large, on-premise analytics platforms to the cloud

DATA DISCOVERY 

Deploy a digital platform solution that uses advanced techniques to bring new understanding and insight in your organization. Organizations rely on data to make crucial decisions every day. The need to ensure the highest data quality is undeniable. Data discovery solutions help companies sort through millions of data points to deliver wide-ranging useful insights.

Our data practice team has deep experience in data management consulting and handling the operational challenges of managing data platforms and can help you make your data projects successful.

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DATA ENGINEERING

Data Engineering is a set of operations aimed at creating interfaces and pipelines that facilitate the access and flow of information. It makes raw data usable to data professionals. Bring forward predictive models and represent trends for the short and long-term data view.

Data engineering enables organizations to make meaningful sense of the huge amount of data available. Our data engineers can help you manage data infrastructure and pipelines efficiently that enable data analytics.

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DATA/SYSTEM INTEGRATION

Add value to your data by combining your internal with disparate data from other internal systems or third party data from external sources. Enriched data is a valuable asset for any organization because it add contextual value to the data making it more insightful. Some external data sources to enrich your data include:

Weather (The weather Company)

Demographic data (Statistics Canada)

Environmental Data (National Research Council)

Open Data

System integration ensures interoperability to enhance process automation, data consistency and great digital experience. Most institutions' technology portfolios have brittle point-to-point links that break each time one the systems are changed.Datakrom helps you integrate your heterogeneous systems, data and processes in a reliable, secure and standardized manner so you can deliver a seamless experience for your users.

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DATA ENRICHMENT

Add value to your data by combining your internal with disparate data from other internal systems or third party data from external sources. Enriched data is a valuable asset for any organization because it add contextual value to the data making it more insightful. Some external data sources to enrich your data include:

Weather (The weather Company)

Demographic data (Statistics Canada)

Environmental Data (National Research Council)

Open Data

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DATA SECURITY

Setting up data security practices and data risk assessments to prevent unauthorized access and ensure data privacy Protecting sensitive data that fuels your business requires a great deal more than encryption and backup. It also includes knowing where sensitive data resides, who accessed it, and when abuse occurs in order to take action. It also includes data anonymization by masking data and classifying sensitive information.

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REFERENCE AND MASTER DATA MANAGEMENT

Master data is the core data within the enterprise that provides context for business transactions. Enabling data consistency and quality across transactional and business intelligence systems is vital to the organizational data health. An error in such a master day anywhere in the data pipeline can cause inaccuracies in all downstream applications that use it.

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CLOUD DATA ARCHITECTURE

Enterprises are moving from on-premise to cloud native platforms more than ever to deliver customized applications that are robust and scalable. Although cloud-native platforms provide the needed agility, organizations must have the right data architecture in place to support this transformation.

Our cloud technology experts will help you design a cloud architecture that will govern how data is captured, integrated, stored, analyzed and used in your cloud-native data transformation.

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